84 citations · 130 across the 7 of their papers we have counts for
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physics.comp-ph2023
Neural network variational Monte Carlo for positronic chemistry
G. Cassella, W. M. C. Foulkes, D. Pfau +1
Quantum chemical calculations of the ground-state properties of positron-molecule complexes are challenging. The main difficulty lies in employing an appropriate basis set for repr…
cond-mat.quant-gas2023★ 14 cited
Neural Wave Functions for Superfluids
Wan Tong Lou, Halvard Sutterud, Gino Cassella +4
Understanding superfluidity remains a major goal of condensed matter physics. Here we tackle this challenge utilizing the recently developed Fermionic neural network (FermiNet) wav…